Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/73856
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dc.contributor.authorHasan, M.-
dc.contributor.authorAbbott, D.-
dc.contributor.authorBaumert, M.-
dc.date.issued2012-
dc.identifier.citationEngineering Innovation in Global Health: Proceedings of the 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, held in San Diego, August 28-September 1, 2012: pp. 4193-4195-
dc.identifier.isbn1457717875-
dc.identifier.isbn9781424441198-
dc.identifier.issn1557-170X-
dc.identifier.issn2694-0604-
dc.identifier.urihttp://hdl.handle.net/2440/73856-
dc.description.abstractThe aim of this study was to investigate beat-to-beat variations of spatial and temporal QRS and T loop morphology for identifying myocardial infarction (MI) patients. We investigated short-term 12-lead ECG recordings of 84 MI patients (22 female, mean age 63 ± 12 years and 62 male, mean age 56 ± 10 years) and 69 healthy control subjects (17 female, mean age 42 ± 18 years and 52 male, mean age 40 ± 13 years). To quantify spatial and temporal variations in QRS complex and T-wave morphology, we defined two descriptor parameters: point-to-point distance variability (DV) and mean loop length (MLL). These parameters were extracted from the reconstructed vector ECG, using singular value decomposition. The results showed that the beat-to-beat spatiotemporal point-to-point distance variability for QRS and T loops (DVQRS; 0.13±0.04 vs. 0.10±0.04, p < 0.0001 and DVT; 0.16±0.07 vs. 0.13±0.06, p < 0.05), were significantly higher in MI subjects compared to control subjects. In addition, the mean loop length of QRS and T loops were significantly higher in control subjects than MI (p < 0.001), respectively. In conclusion, the beat-to-beat spatiotemporal DV and MLL may be useful for characterizing conduction and repolarization characteristics in patients with MI.-
dc.description.statementofresponsibilityMuhammad Asraful Hasan, Derek Abbott and Mathias Baumert-
dc.description.urihttp://embs.papercept.net/conferences/conferences/EMBC12/program/EMBC12_ContentListWeb_3.html-
dc.language.isoen-
dc.publisherIEEE-
dc.relation.ispartofseriesIEEE Engineering in Medicine and Biology Society Conference Proceedings-
dc.rightsCopyright © 2012 IEEE Engineering in Medicine and Biology Society. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1109/embc.2012.6346891-
dc.subjectNonlinear dynamics in biomedical signals-
dc.subjectbiomedical simulation involving signal processing-
dc.titleBeat-to-beat spatial and temporal analysis for QRS-T morphology-
dc.typeConference paper-
dc.contributor.conferenceAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (34th : 2012 : San Diego)-
dc.identifier.doi10.1109/EMBC.2012.6346891-
dc.publisher.placeCD-
pubs.publication-statusPublished-
dc.identifier.orcidAbbott, D. [0000-0002-0945-2674]-
dc.identifier.orcidBaumert, M. [0000-0003-2984-2167]-
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Electrical and Electronic Engineering publications

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